Month: September 2023
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Machine Learning for Securities Regulation Analysis
Machine learning relies on large amounts of data to find associations. These associations are then used to make predictions for future events. The use of machine learning for securities regulation analysis can reduce costs, speed up processes and improve accuracy. However, there are certain challenges that need to be overcome. It has the potential to…
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Machine Learning in Legal Predictive Modeling
Introduction In the ever-evolving landscape of the legal profession, the infusion of artificial intelligence (AI) and machine learning has emerged as a transformative force, redefining the way legal professionals practice, strategize, and make critical decisions. The legal domain, once synonymous with stacks of case files, labor-intensive research, and complex data analysis, is now experiencing a…
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Invention for Continuously providing large-scale machine learning models
Invented by Jian Wu, Samsung SDS America Inc The market for continuously providing large-scale machine learning models has been rapidly growing in recent years. As organizations across various industries realize the potential of artificial intelligence (AI) and machine learning (ML) in driving innovation and improving business outcomes, the demand for sophisticated ML models has surged.…
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AI-driven Legal Document Generation
Introduction In the ever-evolving landscape of legal practice, the integration of artificial intelligence (AI) has ushered in a transformative era. AI-driven legal document generation, a cutting-edge application of AI in the legal field, has gained substantial traction in recent years. This innovative technology empowers legal professionals with an array of tools and capabilities that streamline…
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Role of AI in E-Discovery and Litigation Support
Introduction Technology has been a game-changer in the ever-evolving landscape of the legal world. Among the various technological advancements, AI has emerged as a crucial tool in E-Discovery and Litigation Support. With its ability to process vast amounts of data, identify patterns, and assist legal professionals in making informed decisions, AI is transforming the way…
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Invention for Methods for automatically creating computer-aided design (CAD) files by using image analytics and/or machine learning
Invented by David MORCZINEK, Maxim DOUBENSKI, Adam KERSNOWSKI, Mirela PETKOVA, Nikhil SHINDAY, Airworks Solutions Inc The market for methods for automatically creating computer-aided design (CAD) files by using image analytics and/or machine learning is experiencing significant growth and innovation. This emerging technology is revolutionizing the way CAD files are created, making the process faster, more…
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Enhancing Due Diligence with AI-powered Tools
Introduction In the fast-paced world of business and finance, the importance of due diligence cannot be overstated. It’s the meticulous process of investigation and analysis that precedes any significant business transaction or investment. Traditionally, this has been a labor-intensive and time-consuming task, but the advent of AI has revolutionized the way due diligence is conducted.…
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Machine Learning for Product Liability Analysis
Artificial intelligence (AI) and machine learning are having a transformational impact on manufacturing, robotics, transportation, agriculture, modeling and forecasting, education, cybersecurity, and more. But despite the benefits, the adoption of AI in these industries raises products liability questions. Companies can reduce risk by using contract provisions, such as warranties, indemnities, and limitations. Legislation could also…
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AI and Predictive Analytics for Legal Outcomes
Introduction In recent years, the legal industry has undergone a significant transformation thanks to advancements in artificial intelligence (AI) and predictive analytics. These technologies have revolutionized the way legal professionals approach their work, enabling them to make more informed decisions, streamline processes, and ultimately enhance the outcomes of legal cases. In this comprehensive article, we…
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Invention for Parallel development and deployment of machine learning models
Invented by Bin Qin, Farooq Azam, Denis Malov, SAP SE The market for parallel development and deployment of machine learning models has been growing rapidly in recent years. With the increasing demand for artificial intelligence (AI) solutions across various industries, businesses are seeking ways to accelerate the development and deployment of machine learning models to…